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The dense dataset was projected using the transformation obtained with the sparse dataset, and the first two principal components were used to depict the data (Fig. 3).
Each ROI was projected using the registration transformation onto the baseline and post-treatment SPECT scans.
All images were deconvolved and maximum intensity was projected using the SoftWoRx software programme (Applied Precision).
The total number of patients presenting with genital warts to local private doctors during the data collection period was projected using the stratification sampling method[ 19, 20].
The invisible part of the stimulus was projected using the red color channel (visible using red filter), while a Mondrian mask was projected using green/blue channels.
The total number of new cases of genital warts presented to private and public doctors in Hong Kong was projected using the stratification sampling method.
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Image stacks were projected using the maximum projection algorithm, edges were detected and the image converted to binary.
Confocal planes covering the whole cell (projection of twenty five z-planes; z-spacing, 1 µm) were projected, using the maximum-intensity-projection module of Huygens software (SVI, Hilversum, Netherlands).
A word feature vector is projected using the word index in the projection layer.
Uniform, non-combusting cubiform and cylindrical firebrands are projected using the firebrand generator.
End-of-century impacts were projected using the A2 and B1 Intergovernmental Panel on Climate Change emission scenarios.
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